AI
Explained: Health Systems Need Data Discipline for AI
AI only performs safely and usefully when the clinical, operational, and financial data feeding it are accurate, standardized, timely, and governed. Health systems must put data quality rules, clear ownership, inventories, and repeatable validation in place before they scale AI into care delivery, revenue cycle, staffing, or patient communication.
July 10, 202612 min read
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